Triple

T15803073
Position Surface form Disambiguated ID Type / Status
Subject Złota wolność E383142 entity
Predicate alsoKnownAs P39 FINISHED
Object Golden Liberty E81597 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Golden Liberty | Statement: [Złota wolność, alsoKnownAs, Golden Liberty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Golden Liberty
Context triple: [Złota wolność, alsoKnownAs, Golden Liberty]
  • A. Golden Liberty chosen
    Golden Liberty was the unique political system of the Polish–Lithuanian Commonwealth that granted extensive rights and privileges to the nobility, including elective monarchy and strong parliamentary powers.
  • B. The Jackpot
    "The Jackpot" is a 1950 American comedy film starring James Stewart as a man whose life is upended after winning a radio quiz show’s massive prize haul.
  • C. Cities of Gold Casino
    Cities of Gold Casino is a Native American gaming and entertainment complex located in Pojoaque, New Mexico.
  • D. Mr. Fortune
    Mr. Fortune is a domineering, self-assured elderly landowner whose ruthless pragmatism and conflict with his granddaughter drive the moral and spiritual tensions in Flannery O’Connor’s story "A View of the Woods."
  • E. Lucky Dash
    Lucky Dash is one of the children of music and business mogul Damon Dash.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b524835c8190ae286b2562f07756 completed April 16, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa937f2a881908849fcded786905f completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:48 a.m.